Pradyumna Pradhan

Orcid: 0009-0008-6807-5195

According to our database1, Pradyumna Pradhan authored at least 11 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Deep Unfolding of Tail-Based Methods for Robust Sparse Recovery Under Noise and Model Mismatch.
IEEE Trans. Neural Networks Learn. Syst., June, 2026

A Frame-Theoretic Approach to Robust Filter Pruning in Convolutional Neural Networks.
IEEE Signal Process. Lett., 2026

Bound on RIP of Order $s+1$ for HTP Algorithm.
IEEE Signal Process. Lett., 2026

Sufficient Conditions for Convergence of RHT and RHTP Algorithms Based on RIC of Order $2s$.
IEEE Signal Process. Lett., 2026

2025
Deterministic construction of unimodular tight frames consisting orthogonal blocks via block preserving operators.
Signal Process., 2025

Non-negative sparse signal recovery using the integration of ReLU and hard thresholding pursuit operators.
Signal Process., 2025

Non-iterative sparse signal recovery algorithms for sparse matrices and their guarantees.
J. Frankl. Inst., 2025

Learned ReLU-Based Soft Thresholding: A Data-Driven Method for Non-Negative Sparse Signal Recovery.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding.
IEEE Trans. Signal Process., 2024

Unrolled Proximal Gradient Descent Method for Non-Negative Least Squares Problem.
Proceedings of the IEEE International Conference on Acoustics, 2024

Recursive-Tail-Fista for Sparse Signal Recovery.
Proceedings of the IEEE International Conference on Acoustics, 2024


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